Sensor-Actuator-Based Network for an early-warning system in extreme weather conditions

2010 ◽  
Vol 43 (23) ◽  
pp. 7-12 ◽  
Author(s):  
Ulrike Hempel ◽  
Joerg Auge ◽  
Manfred Schütze ◽  
Christoph Engel
2013 ◽  
Vol 325-326 ◽  
pp. 1249-1252
Author(s):  
Shi Yi

The utility model of early warning system for train operation detects and analysis all the information from the weather detection, photoelectric detection, vibration sensor and signal of the tracks comprehensively. It determines the position of the train by the weighted coefficients and controls the interval signal and locomotive signal accurately. This system should be barely affected by the weather conditions, the results detected by this system are reliable, and it can ensure the train operates safely.


Author(s):  
Jacipt Alexander Ramón-Valencia ◽  
Jordi Rafael Palacios-González ◽  
Germán Rircardo Santos-Granados ◽  
Jarol Derley Ramón-Valencia

The objective of this research was to propose a strategy based on the design and implementation of an early warning system (EWS) for extreme weather events. This project had the following phases: training for municipal and regional actors, preliminary technical diagnosis of the study areas, monitoring network, and the weather forecasts using numerical models WRF and GFS. This EWS is the result of the Macro-project EWS for Climate Events in the basins of the Pamplonita River and Zulia in the North of Santander (SATC), executed by the University of Pamplona and financed by the National Risk Management Unit (UNGRD) and the German Cooperation Agency (GIZ). The research concluded that the application of a disaster risk reduction strategy through an EWS for extreme weather events is an important tool and instrument for the planning of higher risk management because it helps anticipate disasters and consequently preserve lives.


Author(s):  
Karma Tsering ◽  
Kiran Shakya ◽  
Mir A. Matin ◽  
Jim Nelson ◽  
Birendra Bajracharya

AbstractFlooding is a chronic natural hazard with disastrous impacts that have magnified over the last decade due to the rising trend in extreme weather events and growing societal vulnerability from global socioeconomic and environmental changes (WMO 2011 in Manual on flood forecasting and warning (WMO-No. 1072)).


2011 ◽  
Vol 217-218 ◽  
pp. 656-661
Author(s):  
Li Juan Zhou ◽  
Kang Li ◽  
Xiao Xu He

As Chinese socialist market economy gradually has been improved, there is a lag in the agricultural production.It is a very possible research for the agricultural sector to make agricultural production policies to develop appropriate based on the government control means, consumer behavior, agricultural supply and demand balance, the outside weather conditions and other factors. In this paper, we proposed agricultural early warning system structure and function modules. It is based on the external conditions for agricultural production, agricultural consumer groups, consumer habits, especially focusing on the production and analysis module, analysis module prices and consumer modules.


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